Artificial Intelligence is reshaping your relationship with the world and it's just getting started. Tesla's autopilot, job automation, the products you'stumble upon' online - it's entering our daily lives, careers, businesses, even our homes with such blistering pace you probably haven't even realized it. There's a reason Andrew Ng, the founder of $100m company Coursera said "Artificial Intelligence is the new electricity" - soon it'll be as much a part of your daily life as your smartphone, except without the off button. But here's where things get really crazy. This time round, the revolution will see machines taking on tasks no human intellect could ever perform.

New and evolving technologies are rapidly reshaping how we work--offering creative opportunities for developers who are willing to pivot and adopt new skills. We took a look at 11 tech trends experts say are likely to disrupt current IT approaches and create demand for engineers with an eye on the future. Future opportunities for developers are emerging from a confluence of cutting-edge technologies, such as AI, VR. augmented reality, IoT, and cloud technology ... and, of course, dealing with the security issues that are evolving from these convergences. If you're interested in expanding your developer's toolkit, check out these trending domains--and our tips on how to get ahead by getting started with them. After tens of millions of connected devices were hijacked last year, even casual observers could see that unprotected IoT devices create nightmarish security problems.

Pokémon Go is a very popular game with kids and now it could become a learning tool. The game, which incentivizes players to get up and about by letting them capture and battle virtual pocket monsters, might be used as a classroom learning tool, in accordance with common core learning standards, as per Emily Howell, an assistant professor at the Iowa State University School of Education. "It is important to give students authentic choices that really have meaning in their lives. We need to encourage them to develop questions, research the answers and then share that information in writing," Howell said in the press release. Howell is working with school teachers on the use of Pokémon Go as a digital tool to help students learn.

New and innovative technologies enable a variety of instructional environments that help students overcome many traditional boundaries and constraints to learning. As the classroom becomes more of an abstraction than a physical space, educators and learners embrace a variety of pioneering tech-powered teaching and learning paradigms that will serve students well upon graduation.

Machine learning libraries are becoming faster and more accessible with each passing year, showing no signs of slowing down. While traditionally Python has been the go-to language for machine learning, nowadays neural networks can run in any language, including JavaScript! The web ecosystem has made a lot of progress in recent times and although JavaScript and Node.js are still less performant than Python and Java, they are now powerful enough to handle many machine learning problems. Web languages also have the advantage of being super accessible – all you need to run a JavaScript ML project is your web browser. Most JavaScript machine learning libraries are fairly new and still in development, but they do exist and are ready for you to try them.

A new study has revealed that not all are doomed in a robot takeover. Researchers have discovered that people who are more intelligent and who showed an interest in the arts and sciences while in high school are less likely to fall victim to automation. The team concluded that these individuals are more likely to choose jobs that are more creative or have a higher degree of complexity that is not routine - two areas where robots fall short. Researchers at the University of Houston analyzed personality and background factors in order to determine whether a person will select jobs that are more likely to be automated in the future. The team used a dataset of 346,660 people from the American Institutes of Research.

Christopher Manning, a Stanford University professor who specialized in machine translation and has reviewed the paper, calls it an "impressive achievement," particularly because it can train translation models more quickly than existing systems. This past fall, Google unveiled a new translation system driven entirely by neural networks that topped existing models, and many other companies and researchers are pushing in the same direction, most notably Microsoft and Chinese web giant Baidu. "We've seen more improvements over the past two years than we have seen in the past decade," says John Tinsley, the CEO of Iconic Translation Machines, a translation technology company based in Dublin. And others have explored such networks as a basic technique for machine translation, including researchers at DeepMind, a Google AI lab based in London.

TwitterLinkedInGoogle Published on Dec 5, 2015, y que nos presentan así: In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They've mastered the ancient game of Go and thrashed the best human players. "The pace of progress in artificial general intelligence is incredible fast" (Elon Musk – CEO Tesla & SpaceX) leading to an AI that "would be either the best or the worst thing ever to happen to humanity" (Stephen Hawking – Physicist).

A version of this article appeared in the Spring 2017 issue of strategy business. On the Stanford University campus, you could practically throw a rock and hit 100 graduate students who are building apps that enable people to communicate more effectively. But Terry Winograd is particularly enthusiastic about the app one of his graduate students, Catalin Voss, is working on. Voss, a native of Germany who completed his bachelor's and master's degrees last June at the age of 21, is working on an app that deploys Google Glass, linked to a smartphone, to help autistic children recognize human emotions through facial expressions. Venture capitalists weren't interested, even though Voss had created and sold a startup that used eye-tracking technology to monitor attentiveness to a Toyota subsidiary while still a freshman. But Terry Winograd was interested. "It runs, it has AI [artificial intelligence]," says Winograd, who 20-odd years ago advised another graduate student on the then nascent field of searching the World Wide Web. "It's at a stage where we've actually put 30 devices into homes. Our goal is to have 100 in the trial." Voss says his objective is to build a medical product that insurers will be willing to pay for. "We want to prove the investors wrong, who didn't believe in it, and build an aid for people with autism, and other mental disorders as well," he says. "We believe we've built a fairly holistic system for mental health."

We've all heard the alarms sounding over the last few years -- the trifecta of robots, automation and artificial intelligence are marching in lockstep, shiny arms raised, taking not just our factory and mechanical jobs but also our mid-to-high level white collar jobs in finance, marketing and, ahem, journalism. A new survey by Pew Research Center called "The Future of Jobs and Jobs Training" follows a slew of studies, panels, FAQs and articles which herald this disconcerting prospect. But the report offers some hope: with the proper approach to training, learning and education, humans will do just fine in this brave new world. There's a catch: you have to reimagine everything you think you know about training, learning and education. Focusing on learning specific skills such as a particular computer programming language will not be the answer, Lee Rainie, a co-author of the Pew report, told CMSWire.